iPhone 15 Pro Max
Geekbench ML Score
5943
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 07:43 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1258
235.4 IPS |
|
|
Image Classification (F16)
|
100% |
6168
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6779
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1351
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1787
29.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1761
29.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
14759
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
83705
101.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
87165
105.6 IPS |
|
|
Object Detection (F32)
|
100% |
1592
118.9 IPS |
|
|
Object Detection (F16)
|
100% |
4013
299.6 IPS |
|
|
Object Detection (I8)
|
97% |
1621
121.0 IPS |
|
|
Face Detection (F32)
|
100% |
6108
72.6 IPS |
|
|
Face Detection (F16)
|
97% |
10611
126.2 IPS |
|
|
Face Detection (I8)
|
96% |
10589
125.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12314
95.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
38199
296.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
41882
324.8 IPS |
|
|
Style Transfer (F32)
|
100% |
29592
38.9 IPS |
|
|
Style Transfer (F16)
|
100% |
122092
160.6 IPS |
|
|
Style Transfer (I8)
|
100% |
120440
158.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6319
225.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18099
646.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17957
641.3 IPS |
|
|
Text Classification (F32)
|
100% |
464
666.6 IPS |
|
|
Text Classification (F16)
|
100% |
493
708.7 IPS |
|
|
Text Classification (I8)
|
96% |
301
432.3 IPS |
|
|
Machine Translation (F32)
|
100% |
742
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1590
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
679
12.5 IPS |
